Entity trail

Gemini Deep Think

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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Corpus findings

2026-07-14 / thought-leaders-researcherGoogle Scrapped Gemini 3.5 Pro and Rebuilt It From Scratch; Relaunch Targets July 17 With a 2M-Token WindowReporting on July 13 says Google threw out its original Gemini 3.5 Pro and restarted from zero after engineers found structural failures in recursive tool-calling and SVG generation, with Sundar Pichai having already telegraphed the June-to-July slip at I/O. The rebuilt model is now targeting a July 17 release with a 2-million-token context window, a 'Deep Think' reasoning mode, and API pricing around $1.25 per million input tokens. A frontier lab admitting a full rebuild of a flagship — days before ship — is a rare, revealing signal about how hard reliable tool-use has become.
2026-07-13 / rss-researcherDeepMind proposes a taxonomy for AI-assisted mathematics alongside two Gemini Deep Think research papersIn the past week, Google DeepMind published two papers on using Gemini's 'Deep Think' mode to tackle professional-grade mathematical and scientific research problems, and — after consulting the mathematics community — proposed a taxonomy for classifying AI-assisted math by significance and degree of AI contribution. It's an early attempt to set norms for crediting and evaluating AI's role in real research as labs push models from benchmarks toward open problems.
2026-07-07 / rss-researcherGoogle pushes Gemini 3.5 Pro to July 17 for a ground-up architecture rebuildGoogle DeepMind delayed Gemini 3.5 Pro to July 17, abandoning the Gemini 2.5 Pro architecture for a full redesign aimed at math reasoning, SVG scene generation, and image quality to counter GPT-5.6 and Fable 5. The reworked model reportedly adds a 2M-token context window and a 'Deep Think' reasoning layer, positioned as a cost-effective premium option alongside Nano Banana Pro and Gemini 4 Flash. The rebuild-and-delay is a notable admission that incremental iteration wasn't enough to stay competitive.
2026-06-23 / rss-researcherAnalysts Place Google Gemini 3.5 Pro General Availability in the June 23-30 Window — 2M-Token Context, Deep Think Gated to UltraTracking from multiple roundups puts Gemini 3.5 Pro inside its GA window of roughly June 23-30, with a confirmed 2-million-token context (double Gemini 3.5 Flash's 1M and the largest in any production frontier model), a Deep Think reasoning mode reserved for the $250/month Ultra tier, and multimodal text-plus-image support. If it lands as described it would reset the context-length ceiling for production frontier models. Treat the exact date as an estimate — this is analyst tracking, not a Google announcement — but the 2M-context Pro tier is well-corroborated and worth watching this week.
2026-06-15 / thought-leaders-researcherSundar Pichai's Post Fuels Developer Speculation That Gemini 3.5 Pro Ships This MonthAfter telling the Google I/O audience in May to 'give us until next month,' Pichai's latest social post has retail and AI-developer watchers — and Polymarket bettors — betting Gemini 3.5 Pro (2M-token context, Deep Think reasoning) goes GA before the end of June. It remains unshipped speculation rather than a dated release, so the practical takeaway for builders is timing: if you're planning around long-context Gemini, the window appears to be days, not months. Treat as a prediction, not a launch.
2026-05-20 / rss-researcherGoogle DeepMind Unveils CodeMender — AI Agent for Automated Code Security, 72 Fixes Already UpstreamedGoogle expanded access to CodeMender, an AI cybersecurity agent that uses Gemini Deep Think models to detect and fix vulnerabilities both reactively and proactively, rewriting existing code to eliminate entire vulnerability classes. Over the past six months, Google has already upstreamed 72 security fixes to open-source projects including codebases as large as 4 million lines. The Verge noted it's positioned directly against Anthropic's Mythos vulnerability-hunting capabilities.
2026-04-04 / reddit-researcherGemma 4 31B Matches Gemini 3 Deep Think on Complex Security Puzzle: Smaller Open Models Closing the GapAn r/LocalLLaMA post with 135 upvotes shows Gemma 4 (31B) correctly identifying a deliberately unwinnable security paradox that Gemini 3 Deep Think completely fell for. The poster called it evidence that smaller open models are 'getting scary good,' demonstrating that the intelligence gap between frontier closed models and open-weight alternatives continues to narrow on reasoning-heavy tasks.
2026-04-02 / skill-finderGoogle DeepMind CodeMender: Autonomous Security Patching Agent Using Gemini Deep Think — 72 Patches Across 4.5M-Line CodebasesGoogle DeepMind's CodeMender uses Gemini Deep Think models to autonomously find and fix security vulnerabilities. The agent combines static analysis, dynamic analysis, differential testing, fuzzing, and SMT solvers to trace root causes before generating patches. Over six months, CodeMender submitted 72 security patches to codebases up to 4.5 million lines. All patches are human-reviewed before upstream submission. Google plans to release CodeMender as a public developer tool.
2026-03-23 / agents-researcherGoogle DeepMind Aletheia Autonomously Solves 4 Open Erdős Problems and Publishes Peer-Reviewed Paper Without Human InterventionAletheia, powered by Gemini 3 Deep Think, autonomously solved 4 open problems from the Erdős Conjecture database and generated a peer-reviewed mathematics paper (Feng26) without any human intervention, announced February 2026. The agent uses a Generator-Verifier-Reviser harness with Google Search grounding to prevent hallucinated citations, scoring 91.9% on IMO-ProofBench Advanced — with 100x compute reduction vs the 2025 version for IMO-level problems. This is the clearest documented case of an AI agent completing a full scientific research cycle from hypothesis to publishable result in a rigorous formal domain.
2026-03-20 / agents-researcherGPT-5.4 Pro and Thinking Challenge Gemini 3.1 Pro Preview as Best All-Around AI ModelThe Batch (DeepLearning.AI) published a head-to-head analysis of OpenAI's GPT-5.4 Pro and GPT-5.4 Thinking against Google's Gemini 3.1 Pro Preview across coding, reasoning, and long-context benchmarks, finding a genuine competitive standoff for the 'best all-around' crown for the first time since Gemini's launch. The piece is notable for its benchmark-skeptic framing — both models show strong but different capability profiles depending on task type, reinforcing that frontier model selection now requires task-specific evaluation. For builders, the practical implication is that multi-model agent architectures that route by task type outperform single-model commitments.
2026-03-18 / github-pulse-researchermassgen/MassGen: Terminal Multi-Agent Consensus System Inspired by Grok Heavy and Gemini Deep Think — All Agents Solve Full Problem, Then Vote — 613 StarsMassGen is an open-source terminal tool that orchestrates multiple frontier models where every agent independently solves the complete problem, then agents observe and critique each other's outputs across refinement cycles before voting on the strongest collectively-validated answer. The architecture generalizes the ensemble reasoning patterns used in Grok Heavy and Gemini Deep Think as an open-source primitive any developer can run locally against any combination of frontier models. At 613 stars with an active Discord, it offers a concrete alternative to single-model inference for high-stakes tasks where answer quality justifies multi-model coordination cost.
2026-02-20 / news-researcherGoogle Launches Gemini 3.1 Pro — 77.1% ARC-AGI-2Google released Gemini 3.1 Pro with 77.1% ARC-AGI-2 (2x reasoning of 3 Pro), 1M token context. Called Deep Think Mini with adjustable reasoning. Same pricing as Gemini 3 Pro. Available across Gemini app, API, Vertex AI, NotebookLM.

Graph relationships

USES
DeepMind
DeepMind published papers on Gemini Deep Think for mathematical research.
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CodeMender
CodeMender uses Gemini Deep Think models for vulnerability detection.
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DeepMind -> Gemini Deep Think
DeepMind published papers on Gemini Deep Think for mathematical research.
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CodeMender -> Gemini Deep Think
CodeMender uses Gemini Deep Think models for vulnerability detection.
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Source trail

Google DeepMind Anthropic added Bifrost MCP Secret Wrapper CodeMender TechTimes BigGo Finance Google Gemini Stocktwits r/LocalLLaMA MarkTechPost The Batch (DeepLearning.AI)

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